Job Location: Gurugram
WHAT MAKES US A GREAT PLACE TO WORK
We are proud to be [1] consistently recognized as one of the world’s best places to work, a champion of diversity and a model of social responsibility. We are currently ranked the #1 consulting firm on Glassdoor’s Best Places to Work list, and we have maintained a spot in the top four on Glassdoor’s list for the last 12 years. We believe that diversity, inclusion and collaboration is key to building extraordinary teams. We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally. We are publicly recognized by external parties such as Fortune, Vault, Mogul, Working Mother, Glassdoor and the Human Rights Campaign for being a great place to work for [2] diversity and inclusion, women, LGBTQ and parents.
WHO YOU’LL WORK WITH
The Advanced Analytics Group is a team of experts in primary market research, marketing science, data science, engineering and operations research. You will work alongside Bain’s consulting teams to provide high quality results for our clients, some of the most successful and pioneering businesses in the world.
WHAT YOU’LL DO
This is an opportunity to be a part of Bain’s expanding Advanced Analytics Group (Bain’s team of data science, engineering, marketing science, operations research and primary research experts).
Responsibilities include:
- Provide data science services to Bain case teams and clients worldwide. You will work with case teams to assess client demands and suggest data science methods that provide practical, value-added analytics solutions to the client and case teams.
- Design, develop and implement innovative analytics solutions to a wide scale of problems such as targeting and acquiring customers, segmenting markets, product design, marketing optimization, demand forecasting, brand valuation, profit and price analyses, and fraud detection.
- Develop, prototype and test machine-learning algorithms on data sets that can range from a few data points to big data transactional volumes. Apply knowledge of statistics, machine learning, programming, and data modeling to recognize patterns, identify opportunities, pose business questions and make valuable discoveries.
- Align data and analytics outputs to meet business objectives. Clearly define business success criteria and target KPIs that the analytics solution can help achieve.
- Apply techniques including regression models, decision trees, random forests, gradient boosting, support vector machines, clustering and NLP/topic models. Able to identify appropriate variables to design the modeling approach, develop and validate the model.
- Drive exploratory data analysis from high-dimensional data sets. Execute data wrangling on various sources of structured or unstructured data. Perform necessary feature engineering techniques.
- Application of data prep and deploying analytics models on Python, R and SQL. Leverage cloud computing infrastructures, big data platforms and relational database environments.
- Where appropriate, train other team members to support the use of data analytics tools and to expand the use of machine learning within Bain
ABOUT YOU
- 5+ years of experience with data science machine learning, predictive modeling in a business or marketing science environment in large enterprises and deployments
- Domain expertise in machine learning & statistical modeling such as predictive modeling, churn analysis, time series forecasting, computer vision, text mining, recommender systems, market basket analysis, segmentation, graph analytics, natural language processing and text analytics, etc.
- Comfortable working with large, complex data sets from varying sources (e.g., transactional & enterprise data, unfiltered data sets, internet/public data or data science research).
- Proficiency with data wrangling, visualization and modeling in either R or Python is required.
- Experience with deep learning tools such as Keras, TensorFlow, PyTorch, PySpark, MXNet is a plus.
- Experience with developing prototypes, actual models deployed in production or software development is a plus.
- Experience with tools in the distributed computing, GPU, cloud platforms and Big Data domains is a plus (e.g. HPC, GCP, AWS, MS Azure, Hadoop, Spark)
- Ability to bridge business context with technical details and explain and discuss mathematical and machine learning technicalities to a business audience. Good communication and presentation skills, both written and oral.
- Industry experience in retail, consumer products, financial services, TMT (tech-media-telco) is preferred but not required.
- Experience with managing a team or mentoring juniors will be a plus.
- Must thrive in a fast paced & collaborative environment
- Occasional travel pending on business needs
- Bachelor’s degree in Computer Science, Applied Mathematics, Econometrics, Statistics, Physics, Engineering, Data Science, Market Research or related field. Masters or Ph.D. degree would be a plus.
ABOUT US
Bain & Company is a global consultancy that helps the world’s most ambitious change-makers define the future. Across 61 offices in 38 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition and redefine industries. We complement our tailored, integrated expertise with a vibrant ecosystem of digital innovators to deliver better, faster and more enduring outcomes. Our 10-year commitment to invest more than $1 billion in pro bono services brings our talent, expertise and insight to organizations tackling today’s urgent challenges in education, racial equity, social justice, economic development and the environment. Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry.
References
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1. http://www.bain.com/about/what-we-do/awards/index.aspx
2. https://www.bain.com/about/diversity-inclusion/
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